Wearable assistive devices for visually impaired: A state of the art survey
Recent statistics of the World Health Organization (WHO), published in October 2017,
estimate that more than 253 million people worldwide suffer from visual impairment (VI) with …
estimate that more than 253 million people worldwide suffer from visual impairment (VI) with …
A kinect-based wearable face recognition system to aid visually impaired users
LB Neto, F Grijalva, VRML Maike… - … on Human-Machine …, 2016 - ieeexplore.ieee.org
In this paper, we introduce a real-time face recognition (and announcement) system targeted
at aiding the blind and low-vision people. The system uses a Microsoft Kinect sensor as a …
at aiding the blind and low-vision people. The system uses a Microsoft Kinect sensor as a …
Nirfacenet: A convolutional neural network for near-infrared face identification
Near-infrared (NIR) face recognition has attracted increasing attention because of its
advantage of illumination invariance. However, traditional face recognition methods based …
advantage of illumination invariance. However, traditional face recognition methods based …
Depth as attention for face representation learning
H Uppal, A Sepas-Moghaddam… - IEEE Transactions …, 2021 - ieeexplore.ieee.org
Face representation learning solutions have recently achieved great success for various
applications such as verification and identification. However, face recognition approaches …
applications such as verification and identification. However, face recognition approaches …
Deep-see face: A mobile face recognition system dedicated to visually impaired people
In this paper, we introduce the DEEP-SEE FACE framework, an assistive device designed to
improve cognition, interaction, and communication of visually impaired (VI) people in social …
improve cognition, interaction, and communication of visually impaired (VI) people in social …
Two-level attention-based fusion learning for rgb-d face recognition
H Uppal, A Sepas-Moghaddam… - 2020 25th …, 2021 - ieeexplore.ieee.org
With recent advances in RGB-D sensing technologies as well as improvements in machine
learning and fusion techniques, RGB-D facial recognition has become an active area of …
learning and fusion techniques, RGB-D facial recognition has become an active area of …
Fruit morphological measurement based on three-dimensional reconstruction
Y Wang, Y Chen - Agronomy, 2020 - mdpi.com
Three-dimensional (3D) shape information is valuable for fruit quality evaluation. Grading of
the fruits is one of the important postharvest tasks that the fruit processing agro-industries do …
the fruits is one of the important postharvest tasks that the fruit processing agro-industries do …
Rotational offset microlens arrays for highly efficient structured pattern projection
This article reports the diffractive optical elements of rotational offset microlens arrays for
generating highly efficient structured light patterns in active stereoscopic 3D imaging. The …
generating highly efficient structured light patterns in active stereoscopic 3D imaging. The …
A dataset and benchmark towards multi-modal face anti-spoofing under surveillance scenarios
Face Anti-spoofing (FAS) is a challenging problem due to complex serving scenarios and
diverse face presentation attack patterns. Especially when captured images are low …
diverse face presentation attack patterns. Especially when captured images are low …
Teacher-student adversarial depth hallucination to improve face recognition
H Uppal, A Sepas-Moghaddam… - Proceedings of the …, 2021 - openaccess.thecvf.com
Abstract We present the Teacher-Student Generative Adversarial Network (TS-GAN) to
generate depth images from single RGB images in order to boost the performance of face …
generate depth images from single RGB images in order to boost the performance of face …